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For example, when building a new store, the future sales of the new store can be predicted by analyzing the extent to which multiple factors such as the number of employees at existing stores and the capacity of parking spaces affect sales. It is difficult to analyze purchasing characteristics or predict future trends using RFM analysis alone. Please keep in mind that there are cases where RFM analysis plus other methods are required. How to do an RFM analysis From here, we will explain how to conduct an RFM analysis in detail.


RFM analysis is generally conducted in the egypt telegram database following five steps. 1. Form a hypothesis about the problem Before starting your RFM analysis, create a hypothesis for the problem you want to analyze. In the process of creating a hypothesis, you will clarify the subject of your analysis and narrow down your objective. For example, let's say sales of a certain product are sluggish, and you hypothesize that "customers are shifting to a competitor's product." In this case, what you want to find out through RFM analysis is the situation of customers who have defected.


In this way, by forming a hypothesis about the problem, you need to clarify "what you want to find out through RFM analysis." 2. Aggregate metrics at the customer level To begin RFM analysis, you need to collect the necessary data. It is important to collect and organize the data for each of the three indicators by customer. Use POS data and membership IDs issued to each customer to collect the data required to analyze each indicator.